Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/17425
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dc.contributor.authorRahman, Muhammad Moshiuren
dc.contributor.authorLamb, Daviden
dc.contributor.authorStanley, Johnen
dc.date.accessioned2015-06-02T15:36:00Z-
dc.date.issued2015-
dc.identifier.citationAgricultural and Forest Meteorology, v.202, p. 39-43en
dc.identifier.issn1873-2240en
dc.identifier.issn0168-1923en
dc.identifier.urihttps://hdl.handle.net/1959.11/17425-
dc.description.abstractThe fraction of absorbed photosynthetically active radiation (fAPAR) for plant canopies is often inferred from top-of-canopy, spectral reflectance, vegetation indices like the normalized difference vegetation index (NDVI). Such measures are derived using passive optical sensors and solar illumination of the canopy. However both the passive sensor-derived NDVI and the accompanying fAPAR measurements are affected by the solar elevation angle (θs). In many cases the effect of θs on both NDVI and fAPAR measurements is similar and the effect of θs is often cancelled out. The new class of active optical sensors (AOS) that contain their own radiant light sources to produce equivalent measurements of NDVI are not influenced by θs even though the accompanying values of fAPAR, as derived using a passive sensor are. This means the fAPAR–NDVIAOS relationship will invariably be sensitive to θs. By way of example, this paper investigates the correlations between the NDVIAOS and fAPAR under conditions of varying solar illumination angle for a tall fescue (Festuca arundinacea) pasture. The NDVIAOS was observed to retain a strong linear correlation with fAPAR (R2 ≥ 0.85) but fAPAR was highly sensitive to θs. Subsequently, simple models can be utilized to predict the fAPAR-NDVIAOS relationship for any solar elevation angle between 30 and 80°.en
dc.languageenen
dc.publisherElsevier BVen
dc.relation.ispartofAgricultural and Forest Meteorologyen
dc.titleThe impact of solar illumination angle when using active optical sensing of NDVI to infer fAPAR in a pasture canopyen
dc.typeJournal Articleen
dc.identifier.doi10.1016/j.agrformet.2014.12.001en
dc.subject.keywordsAgricultural Spatial Analysis and Modellingen
dc.subject.keywordsCrop and Pasture Biomass and Bioproductsen
local.contributor.firstnameMuhammad Moshiuren
local.contributor.firstnameDaviden
local.contributor.firstnameJohnen
local.subject.for2008070304 Crop and Pasture Biomass and Bioproductsen
local.subject.for2008070104 Agricultural Spatial Analysis and Modellingen
local.subject.seo2008830406 Sown Pastures (excl. Lucerne)en
local.profile.schoolSchool of Science and Technologyen
local.profile.schoolOffice of Faculty of Science, Agriculture, Business and Lawen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailmrahma37@une.edu.auen
local.profile.emaildlamb@une.edu.auen
local.profile.emailjstanle4@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20150413-083456en
local.publisher.placeNetherlandsen
local.format.startpage39en
local.format.endpage43en
local.identifier.scopusid84919667662en
local.peerreviewedYesen
local.identifier.volume202en
local.contributor.lastnameRahmanen
local.contributor.lastnameLamben
local.contributor.lastnameStanleyen
dc.identifier.staffune-id:mrahma37en
dc.identifier.staffune-id:dlamben
dc.identifier.staffune-id:jstanle4en
local.profile.orcid0000-0001-6430-0588en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:17639en
local.identifier.handlehttps://hdl.handle.net/1959.11/17425en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleThe impact of solar illumination angle when using active optical sensing of NDVI to infer fAPAR in a pasture canopyen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorRahman, Muhammad Moshiuren
local.search.authorLamb, Daviden
local.search.authorStanley, Johnen
local.uneassociationUnknownen
local.identifier.wosid000350182100004en
local.year.published2015en
local.subject.for2020300405 Crop and pasture biomass and bioproductsen
local.subject.for2020300206 Agricultural spatial analysis and modellingen
local.subject.seo2020100505 Sown pastures (excl. lucerne)en
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